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from dlkit.json_.osid.metadata import Metadata
from dlkit.primordium.id.primitives import Id
from dlkit.abstract_osid.osid.errors import InvalidArgument, IllegalState
from ..basic.text_answer_records import ExtendedTextAnswerQuestionFormRecord,\
ExtendedTextAnswerQuestionRecord
from ..basic.base_records import Mu... | {
"repo_name": "mitsei/dlkit",
"path": "dlkit/records/assessment/qti/extended_text_interaction.py",
"copies": "1",
"size": "13712",
"license": "mit",
"hash": 3678041566129817000,
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"autogenerated": false,
"ratio": 3.986046511627... |
from dlkit.json_.utilities import JSONClientValidated
from dlkit.json_.repository.objects import Asset, AssetList
from dlkit.primordium.id.primitives import Id
from dlkit.abstract_osid.osid.errors import IllegalState
from bson.objectid import ObjectId
from ...osid.base_records import ProvenanceRecord
class Provena... | {
"repo_name": "mitsei/dlkit",
"path": "dlkit/records/repository/basic/base_records.py",
"copies": "1",
"size": "3919",
"license": "mit",
"hash": 5092865333884501000,
"line_mean": 47.3827160494,
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"alpha_frac": 0.5705537127,
"autogenerated": false,
"ratio": 4.423250564334086,
"con... |
from dlkit.primordium.type.primitives import Type
from dlkit_runtime.utilities import impl_key_dict
DATA_STORE_PATH = 'tutorial-data/'
FILESYSTEM_ASSET_CONTENT_TYPE = Type(**
{
'authority': 'odl.mit.edu',
'namespace': 'asset_co... | {
"repo_name": "mitsei/dlkit-tutorial",
"path": "app_configs/configs.py",
"copies": "1",
"size": "5760",
"license": "mit",
"hash": -8513072747722146000,
"line_mean": 35.6878980892,
"line_max": 121,
"alpha_frac": 0.5243055556,
"autogenerated": false,
"ratio": 4.709730171708912,
"config_test": tru... |
from DL_libs import *
train_data_spec = arguments['train_data']
valid_data_spec = arguments['valid_data']
conv_nnet_spec = arguments['conv_nnet_spec']
nnet_spec = arguments['nnet_spec']
wdir = arguments['wdir']
# parse network configuration from arguments, and initialize data reading
cfg = NetworkConfig(); cfg.model... | {
"repo_name": "magic2du/dlnn",
"path": "cmds/display_networks.py",
"copies": "1",
"size": "1680",
"license": "apache-2.0",
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"ratio": 3.169811320754717,
"config_test": fal... |
from dlm.models.components.lookuptable import LookupTable
from dlm.models.components.linear import Linear
from dlm.models.components.activation import Activation
from dlm.models import classifier
import dlm.utils as U
import dlm.io.logging as L
import theano.tensor as T
import theano
import numpy
import math
class MLP... | {
"repo_name": "nusnlp/corelm",
"path": "dlm/models/mlp.py",
"copies": "1",
"size": "4896",
"license": "mit",
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"alpha_frac": 0.5886437908,
"autogenerated": false,
"ratio": 3.003680981595092,
"config_test": false,
"has_no... |
from dltb.network import Network as BaseNetwork
import numpy as np
class RelevanceBackpropagation:
"""
Relevance backpropagation limited to the first maxpool layer.
"""
def __init__(self, network: BaseNetwork):
self._network = network
def visualize(self, input_sample, eps=1) -> np.ndarray:... | {
"repo_name": "Petr-By/qtpyvis",
"path": "visualizations/relevance_backpropagation.py",
"copies": "1",
"size": "7479",
"license": "mit",
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"autogenerated": false,
"ratio": 4.345729227193492,
"con... |
from dl_util import *
class DAG:
def __init__(self, t1):
pass
def __match_b_in_a(self, a, b):
av = [-1, -1, -1]
bv = [-1, -1, -1]
for ai in range(0,3):
for bi in range(0,3):
ap = a.points[ai]
bp = b.points[bi]
if a... | {
"repo_name": "parrishmyers/tacmap",
"path": "scripts/dl_dag.py",
"copies": "1",
"size": "1262",
"license": "mit",
"hash": -2222848200332722200,
"line_mean": 22.3888888889,
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"alpha_frac": 0.3851030111,
"autogenerated": false,
"ratio": 3.1007371007371005,
"config_test": false,
"... |
from dmapiclient.audit import AuditTypes
from dmutils.flask import timed_render_template as render_template
from flask import abort, flash, redirect, url_for
from flask_login import current_user
from .. import main
from ..auth import role_required
from ... import data_api_client
APPROVED_SERVICE_EDITS_MESSAGE = "The... | {
"repo_name": "alphagov/digitalmarketplace-admin-frontend",
"path": "app/main/views/service_updates.py",
"copies": "1",
"size": "1634",
"license": "mit",
"hash": 816034437142697600,
"line_mean": 33.0416666667,
"line_max": 97,
"alpha_frac": 0.6976744186,
"autogenerated": false,
"ratio": 3.55991285... |
from dmapiclient.audit import AuditTypes
from flask import jsonify, abort, request, current_app
from sqlalchemy.exc import IntegrityError
from sqlalchemy.orm import lazyload
from sqlalchemy import asc, desc
from datetime import datetime
from .. import main
from ... import db
from ...validation import is_valid_service... | {
"repo_name": "alphagov/digitalmarketplace-api",
"path": "app/main/views/drafts.py",
"copies": "1",
"size": "22921",
"license": "mit",
"hash": -5814622437011994000,
"line_mean": 33.6238670695,
"line_max": 120,
"alpha_frac": 0.6365341826,
"autogenerated": false,
"ratio": 3.9054353382177545,
"con... |
from dmapiclient.audit import AuditTypes
from flask import jsonify, abort, request, current_app
from sqlalchemy import asc
from dmutils.config import convert_to_boolean
from dmutils.errors.api import ValidationError
from .. import main
from ...models import ArchivedService, Service, Supplier, AuditEvent, Framework, d... | {
"repo_name": "alphagov/digitalmarketplace-api",
"path": "app/main/views/services.py",
"copies": "1",
"size": "12810",
"license": "mit",
"hash": 5970673182793165000,
"line_mean": 32.5340314136,
"line_max": 118,
"alpha_frac": 0.6544886807,
"autogenerated": false,
"ratio": 3.8724304715840385,
"co... |
from dmapiclient.audit import AuditTypes
from sqlalchemy.exc import IntegrityError
from flask import abort, current_app, request, jsonify
from .. import main
from ... import db
from ...models import BuyerEmailDomain, AuditEvent
from ...validation import validate_buyer_email_domain_json_or_400, is_approved_buyer_domain... | {
"repo_name": "alphagov/digitalmarketplace-api",
"path": "app/main/views/buyer_domains.py",
"copies": "1",
"size": "3225",
"license": "mit",
"hash": -8244201253963825000,
"line_mean": 30.6176470588,
"line_max": 91,
"alpha_frac": 0.6778294574,
"autogenerated": false,
"ratio": 3.4528907922912206,
... |
from dmapiclient import HTTPError
from dmutils.flask import timed_render_template as render_template
from flask import flash, redirect, request, url_for
from flask_login import current_user
from .. import main
from ..auth import role_required
from ..forms import EmailDomainForm
from ... import data_api_client
ADDED_... | {
"repo_name": "alphagov/digitalmarketplace-admin-frontend",
"path": "app/main/views/buyers.py",
"copies": "1",
"size": "2336",
"license": "mit",
"hash": 3703856980108265500,
"line_mean": 34.303030303,
"line_max": 93,
"alpha_frac": 0.6334763948,
"autogenerated": false,
"ratio": 3.5901386748844377,... |
from .dmb import Tile, Mob, Proc, WorldData, Var, Instance, Resource, Type, RawString
from .dmbwriter import DmbWriter
from .tree import ObjectTree
from .value import *
from .constants import *
from .crypt import byond32
try:
from blist import *
except:
blist = list
try:
import numpy as np
except:
fro... | {
"repo_name": "baliame/pydmb",
"path": "dmb/dmbreader.py",
"copies": "1",
"size": "17476",
"license": "mit",
"hash": -8810720968370541000,
"line_mean": 32.0984848485,
"line_max": 157,
"alpha_frac": 0.5246623941,
"autogenerated": false,
"ratio": 3.72861105184553,
"config_test": false,
"has_no_... |
from .dmb import Type, Proc, Arg
from . import json as dmbjson
from . import constants
import json
import struct
def tree_from_json(jdict):
lprocs = [Proc.from_json(j) for j in jdict["procs"]]
jprocs = dict((p.id, p) for p in lprocs)
tree = ObjectTree(tree=jdict["tree"], procref=jprocs)
tree.resolve_p... | {
"repo_name": "baliame/pydmb",
"path": "dmb/tree.py",
"copies": "1",
"size": "15057",
"license": "mit",
"hash": 3512098451325415400,
"line_mean": 38.0077720207,
"line_max": 533,
"alpha_frac": 0.4993026499,
"autogenerated": false,
"ratio": 3.579885877318117,
"config_test": false,
"has_no_keywo... |
from dmd import *
from layers import *
class DisplayController(object):
"""Manages the process of obtaining DMD frames from active modes and compositing them together for
display on the DMD.
**Using DisplayController**
1. Add a :class:`DisplayController` instance to your :class:`~procgame.ga... | {
"repo_name": "mjocean/PyProcGameHD-SkeletonGame",
"path": "procgame/dmd/displaycontroller.py",
"copies": "1",
"size": "3801",
"license": "mit",
"hash": -1087453582142587100,
"line_mean": 43.1976744186,
"line_max": 118,
"alpha_frac": 0.607471718,
"autogenerated": false,
"ratio": 4.113636363636363... |
from dmd import *
from procgame import config
from random import randrange
import hdfont
import logging
try:
import cv2
import cv2 as cv
from movie import capPropId, getColorProp
OpenCV_avail = True
from movie import Movie
except ImportError:
logging.basicConfig(level=logging.INFO, format="%(asc... | {
"repo_name": "mjocean/PyProcGameHD-SkeletonGame",
"path": "procgame/dmd/layers.py",
"copies": "1",
"size": "60897",
"license": "mit",
"hash": -1595685603473803300,
"line_mean": 37.5668144395,
"line_max": 200,
"alpha_frac": 0.5600768511,
"autogenerated": false,
"ratio": 3.815840591515759,
"conf... |
from dmd import *
import sdl2.ext
from sdl2.ext import *
class LayerTransitionBase(object):
"""Transition base class."""
progress = 0.0
"""Transition progress from 0.0 (100% from frame, 0% to frame) to 1.0 (0% from frame, 100% to frame).
Updated by :meth:`next_frame`."""
progress_per_frame = ... | {
"repo_name": "mjocean/PyProcGameHD-SkeletonGame",
"path": "procgame/dmd/transitions.py",
"copies": "1",
"size": "11952",
"license": "mit",
"hash": -813832038713831000,
"line_mean": 41.9928057554,
"line_max": 178,
"alpha_frac": 0.5923694779,
"autogenerated": false,
"ratio": 3.2961941533370105,
... |
from dmd import *
class LayerTransitionBase(object):
"""Transition base class."""
progress = 0.0
"""Transition progress from 0.0 (100% from frame, 0% to frame) to 1.0 (0% from frame, 100% to frame).
Updated by :meth:`next_frame`."""
progress_per_frame = 1.0/60.0
"""Progress increment for each frame. Defaults... | {
"repo_name": "Curbfeeler/PinbotFromES",
"path": "procgame/dmd/transitions.py",
"copies": "2",
"size": "8769",
"license": "mit",
"hash": -8554935078550385000,
"line_mean": 39.976635514,
"line_max": 172,
"alpha_frac": 0.6736229901,
"autogenerated": false,
"ratio": 2.7480413663428394,
"config_tes... |
from dmdlib.core.ALP import *
import numpy as np
from tqdm import tqdm
import time
from .saving import HfiveSaver
class Presenter:
"""
Manages coordination of pattern generation, upload, and saving.
"""
def __init__(self, dmd: AlpDmd, pattern_generator, saver: HfiveSaver, total_presentations=-1,
... | {
"repo_name": "olfa-lab/DmdLib",
"path": "dmdlib/randpatterns/presenter.py",
"copies": "1",
"size": "7508",
"license": "mit",
"hash": 1360838868783388400,
"line_mean": 41.418079096,
"line_max": 124,
"alpha_frac": 0.6045551412,
"autogenerated": false,
"ratio": 3.9978700745473907,
"config_test": ... |
from dmdlib.randpatterns.utils import *
import numpy as np
@nb.jit()
def _select(arr, indexes, gap, npix):
n, h, w = arr.shape
for i in range(0, n, gap+1):
picks = np.random.choice(indexes, npix, replace=False)
frame = arr[i, :, :]
frame.ravel()[picks] = True
def generate_scanner_se... | {
"repo_name": "olfa-lab/DmdLib",
"path": "dmdlib/randpatterns/old/scanner.py",
"copies": "1",
"size": "3191",
"license": "mit",
"hash": -6809441087729186000,
"line_mean": 43.9436619718,
"line_max": 126,
"alpha_frac": 0.6518332811,
"autogenerated": false,
"ratio": 3.306735751295337,
"config_test... |
from dmonconnector import *
from dmonpoint import *
from dmonscikit import dmonscilearnclassification
from util import queryParser, nodesParse, str2Bool, cfilterparse, rfilterparse, pointThraesholds, parseDelay, parseMethodSettings, ut2hum
from threadRun import AdpDetectThread, AdpPointThread, AdpTrainThread
from multi... | {
"repo_name": "igabriel85/dmon-adp",
"path": "adpengine/dmonadpengine.py",
"copies": "1",
"size": "94977",
"license": "apache-2.0",
"hash": 1699553350092991700,
"line_mean": 56.3532608696,
"line_max": 217,
"alpha_frac": 0.5363930215,
"autogenerated": false,
"ratio": 4.092425025853154,
"config_t... |
from dmonroy.codec.base import BaseCodec
__author__ = 'Darwin Monroy'
N = '0123456789'
U = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ'
L = 'abcdefghijklmnopqrstuvwxyz'
class Base62Alphabet(object):
NUL = N + U + L
NLU = N + L + U
LNU = L + N + U
LUN = L + U + N
ULN = U + L + N
UNL = U + N + L
class Base6... | {
"repo_name": "dmonroy/dmonroy.codec",
"path": "dmonroy/codec/base62.py",
"copies": "1",
"size": "1139",
"license": "mit",
"hash": -7038656763285404000,
"line_mean": 22.2653061224,
"line_max": 56,
"alpha_frac": 0.6031606673,
"autogenerated": false,
"ratio": 3.9275862068965517,
"config_test": fa... |
from dmonscikit import dmonscilearncluster
import os
import pandas as pd
dataDir = os.path.join(os.path.dirname(os.path.abspath('')), 'data')
modelDir = os.path.join(os.path.dirname(os.path.abspath('')), 'models')
data = os.path.join(dataDir, 'Final_Merge.csv')
data_df = pd.read_csv(data)
print data_df
dbscan = dmon... | {
"repo_name": "igabriel85/dmon-adp",
"path": "test/sclusterTest.py",
"copies": "1",
"size": "1082",
"license": "apache-2.0",
"hash": 165412992212132670,
"line_mean": 37.6428571429,
"line_max": 125,
"alpha_frac": 0.6996303142,
"autogenerated": false,
"ratio": 2.7743589743589743,
"config_test": f... |
from dmutils.audit import AuditTypes
from flask import jsonify, abort, request, current_app
from sqlalchemy.exc import IntegrityError
from sqlalchemy import asc
from sqlalchemy.types import String
from .. import main
from ... import db
from ...utils import drop_foreign_fields, json_has_required_keys
from ...validatio... | {
"repo_name": "RichardKnop/digitalmarketplace-api",
"path": "app/main/views/drafts.py",
"copies": "2",
"size": "8801",
"license": "mit",
"hash": -7748231731935002000,
"line_mean": 28.632996633,
"line_max": 79,
"alpha_frac": 0.6217475287,
"autogenerated": false,
"ratio": 3.824858757062147,
"conf... |
from dmutils.audit import AuditTypes
from flask import jsonify, abort, request, current_app
from datetime import datetime
from .. import main
from ...models import ArchivedService, Service, Supplier, Framework
from sqlalchemy import asc
from ...validation import detect_framework_or_400, is_valid_service_id_or_400
fr... | {
"repo_name": "mtekel/digitalmarketplace-api",
"path": "app/main/views/services.py",
"copies": "2",
"size": "8642",
"license": "mit",
"hash": 2783513524259065000,
"line_mean": 29.2167832168,
"line_max": 89,
"alpha_frac": 0.6363110391,
"autogenerated": false,
"ratio": 3.912177455862381,
"config_... |
from dmutils.formats import lot_to_lot_case
from ..helpers.search_helpers import get_filters_from_request
def sections_for_lot(lot, builder):
if lot is None or lot == 'all':
sections = builder.filter(
{'lot': 'IaaS'}).filter(
{'lot': 'PaaS'}).filter(
{'lot': 'SaaS'}).fi... | {
"repo_name": "mtekel/digitalmarketplace-buyer-frontend",
"path": "app/presenters/search_presenters.py",
"copies": "1",
"size": "2226",
"license": "mit",
"hash": 2504263279778472000,
"line_mean": 28.68,
"line_max": 73,
"alpha_frac": 0.5184186882,
"autogenerated": false,
"ratio": 4.313953488372093... |
from dmww_classes import *
#from plotting_helper import *
################################################################
# The model
################################################################
seed(1)
w = World(n_words=3,
n_objs=3)
w.show()
# AB 1
# AC 2
# ABC 3
c = Corpus(w,
n_per_sen... | {
"repo_name": "mcfrank/dmww",
"path": "ramscar.py",
"copies": "1",
"size": "2327",
"license": "mit",
"hash": 8085036970626972000,
"line_mean": 19.7857142857,
"line_max": 111,
"alpha_frac": 0.4916201117,
"autogenerated": false,
"ratio": 2.6,
"config_test": false,
"has_no_keywords": true,
"fe... |
from dna.base.DNAPacker import *
from dna.components.DNASuitEdge import DNASuitEdge
class DNAStorage:
def __init__(self):
self.catalogCodes = {} # {root: [code]}
self.textures = {} # {code: filename}
self.fonts = {} # {code: filename}
self.nodes = {}... | {
"repo_name": "silly-wacky-3-town-toon/SOURCE-COD",
"path": "dubrari/tools/compiler/dna/base/DNAStorage.py",
"copies": "3",
"size": "6025",
"license": "apache-2.0",
"hash": 5024716301872075000,
"line_mean": 40.8402777778,
"line_max": 78,
"alpha_frac": 0.6053112033,
"autogenerated": false,
"ratio"... |
from dna.base.DNAPacker import *
class DNAGroup:
COMPONENT_CODE = 1
def __init__(self, name):
self.name = name
self.children = []
self.parent = None
self.visGroup = None
def setName(self, name):
self.name = name
def add(self, child):
self.children.app... | {
"repo_name": "silly-wacky-3-town-toon/SOURCE-COD",
"path": "dubrari/tools/compiler/dna/components/DNAGroup.py",
"copies": "3",
"size": "1314",
"license": "apache-2.0",
"hash": -4425154387469742600,
"line_mean": 24.2692307692,
"line_max": 69,
"alpha_frac": 0.6187214612,
"autogenerated": false,
"r... |
from dna.components import DoubleSplitMix
from dna.model import DnaModel
class DSMTest(DnaModel):
def run(self):
self.addComponent(DoubleSplitMix, 'dsm1').nodes(11, 30, 13, 41)
self.nodes[11].update({
'media': 'kalina',
'y': 0.3637,
'mdot': 6.4944,
'... | {
"repo_name": "mwoc/pydna",
"path": "dna/test/test_DoubleSplitMix.py",
"copies": "1",
"size": "1579",
"license": "bsd-3-clause",
"hash": -1512284911756092000,
"line_mean": 24.4677419355,
"line_max": 88,
"alpha_frac": 0.4325522483,
"autogenerated": false,
"ratio": 2.770175438596491,
"config_test... |
from DNAGroup import DNAGroup
from dna.base.DNAPacker import *
class DNANode(DNAGroup):
COMPONENT_CODE = 3
def __init__(self, name):
DNAGroup.__init__(self, name)
self.pos = (0, 0, 0)
self.hpr = (0, 0, 0)
self.scale = (1, 1, 1)
def setPos(self, pos):
self.pos = po... | {
"repo_name": "sctigercat1/libpandadna",
"path": "compiler/dna/components/DNANode.py",
"copies": "2",
"size": "1036",
"license": "bsd-3-clause",
"hash": 7132591353674576000,
"line_mean": 29.4705882353,
"line_max": 74,
"alpha_frac": 0.5955598456,
"autogenerated": false,
"ratio": 3.5,
"config_tes... |
from DNAGroup import DNAGroup
from dna.base.DNAPacker import *
class DNAVisGroup(DNAGroup):
COMPONENT_CODE = 2
def __init__(self, name):
DNAGroup.__init__(self, name)
self.visibles = []
self.suitEdges = []
self.battleCells = []
def getVisGroup(self):
return self
... | {
"repo_name": "silly-wacky-3-town-toon/SOURCE-COD",
"path": "dubrari/tools/compiler/dna/components/DNAVisGroup.py",
"copies": "2",
"size": "1685",
"license": "apache-2.0",
"hash": 7333247076589493000,
"line_mean": 34.8510638298,
"line_max": 74,
"alpha_frac": 0.634421365,
"autogenerated": false,
"... |
from dna import DNA
class Bloop(object):
def __init__(self, dna, loc):
self.location = loc
self.dna = dna
self.lifespan = 255
self.maxspeed = map(self.dna.genes[0], 0.0, 1.0, 15, 0)
self.r = map(self.dna.genes[0], 0.0, 1.0, 0, 50)
self.xoff = random(1000)
se... | {
"repo_name": "kantel/processingpy",
"path": "sketches/Evolution_Ecosystem/bloop.py",
"copies": "1",
"size": "1930",
"license": "mit",
"hash": 3321019032521120000,
"line_mean": 29.6349206349,
"line_max": 71,
"alpha_frac": 0.5222797927,
"autogenerated": false,
"ratio": 3.1953642384105962,
"confi... |
from dnaio import *
from runner import *
from logger import *
def prepare_seed(**ops):
'''
This is to be made obsolete by an executable that prepares the seed
database by altering the headers and places it in ~/cram/db
Create table of seed_id -> subsystems for use later when creating
subsystem... | {
"repo_name": "audy/cram",
"path": "metacram/theseed.py",
"copies": "1",
"size": "6619",
"license": "bsd-3-clause",
"hash": -8006890730014505000,
"line_mean": 31.6108374384,
"line_max": 103,
"alpha_frac": 0.5467593292,
"autogenerated": false,
"ratio": 3.8348783314020856,
"config_test": false,
... |
from dnaio import *
from runner import *
from logger import *
def trim_pairs(**ops):
''' Performs quality trimming of paired-end sequences generating interleaved
(paired) and singletons fasta files.
Example
>>> trim_pairs(
... # Specify file format of reads (see DnaIO for options).
..... | {
"repo_name": "audy/cram",
"path": "metacram/trim.py",
"copies": "1",
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"license": "bsd-3-clause",
"hash": -6900863624096371000,
"line_mean": 30.8983050847,
"line_max": 90,
"alpha_frac": 0.560042508,
"autogenerated": false,
"ratio": 3.6192307692307693,
"config_test": false,
"has... |
from dnaio import Sequence
from cutadapt.adapters import BackAdapter, AnywhereAdapter
from cutadapt.modifiers import AdapterCutter, ModificationInfo
def test_statistics():
read = Sequence('name', 'AAAACCCCAAAA')
adapters = [BackAdapter("CCCC", max_errors=0.1)]
cutter = AdapterCutter(adapters, times=3)
... | {
"repo_name": "marcelm/cutadapt",
"path": "tests/test_trim.py",
"copies": "1",
"size": "2527",
"license": "mit",
"hash": 6721611518689154000,
"line_mean": 40.4262295082,
"line_max": 80,
"alpha_frac": 0.6853977048,
"autogenerated": false,
"ratio": 3.5392156862745097,
"config_test": false,
"has... |
from dna.middleware.models.manager import *
from dna.middleware.endpoint.server import ManagedHandler
from dna.middleware.endpoint.server import Server
class Service(object):
def __init__(self, host=None, port=None):
self.__manager = None
self.__server = None
self.__host = None
se... | {
"repo_name": "protagora/device_network_protocol",
"path": "middleware/models/service.py",
"copies": "1",
"size": "2029",
"license": "mit",
"hash": 8849756569213293000,
"line_mean": 26.4189189189,
"line_max": 94,
"alpha_frac": 0.6022671267,
"autogenerated": false,
"ratio": 4.439824945295404,
"c... |
from DNANode import DNANode
from dna.base.DNAPacker import *
class DNASignGraphic(DNANode):
COMPONENT_CODE = 8
def __init__(self, name):
DNANode.__init__(self, name)
self.code = ''
self.color = (1, 1, 1, 1)
self.width = 0
self.height = 0
self.bDefaultColor = Tr... | {
"repo_name": "sctigercat1/libpandadna",
"path": "compiler/dna/components/DNASignGraphic.py",
"copies": "2",
"size": "1184",
"license": "bsd-3-clause",
"hash": 9096753781728953000,
"line_mean": 29.358974359,
"line_max": 74,
"alpha_frac": 0.6148648649,
"autogenerated": false,
"ratio": 3.5770392749... |
from DNANode import DNANode
from dna.base.DNAPacker import *
class DNAStreet(DNANode):
COMPONENT_CODE = 19
def __init__(self, name):
DNANode.__init__(self, name)
self.code = ''
self.streetTexture = ''
self.sideWalkTexture = ''
self.curbTexture = ''
self.streetC... | {
"repo_name": "silly-wacky-3-town-toon/SOURCE-COD",
"path": "dubrari/tools/compiler/dna/components/DNAStreet.py",
"copies": "2",
"size": "1796",
"license": "apache-2.0",
"hash": -5066599163899003000,
"line_mean": 34.2156862745,
"line_max": 73,
"alpha_frac": 0.6080178174,
"autogenerated": false,
"... |
from DNASkittleUtils.Contigs import read_contigs, write_contigs_to_file, Contig
from os.path import splitext
import sys
def informative_bases(seq, informative_positions):
return ''.join([seq[i] for i in informative_positions])
def barcoding_sequences(input_fasta_path):
consensus_contigs = read_contigs(input_... | {
"repo_name": "plumbwj01/Barcoding-Fraxinus",
"path": "generate_barcoding_fasta.py",
"copies": "1",
"size": "1753",
"license": "apache-2.0",
"hash": 4220318372981296000,
"line_mean": 46.4054054054,
"line_max": 120,
"alpha_frac": 0.6891043925,
"autogenerated": false,
"ratio": 3.403883495145631,
... |
from dna.states import state
from dna.component import Component
'''
Fixed energy input. Model should be able to find:
*mdot for fixed inlet + outlet temperature
No heat transfer investigation is done, so temperature on solar side not considered
'''
class Receiver(Component):
def nodes(self, in1, out1):
se... | {
"repo_name": "mwoc/pydna",
"path": "dna/components/receiver.py",
"copies": "1",
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"line_mean": 27.4,
"line_max": 101,
"alpha_frac": 0.5014679977,
"autogenerated": false,
"ratio": 3.113345521023766,
"config_test": false,
"... |
from DNAYaccError import DNAYaccError
from ply import lex, yacc
from DNAGroup import DNAGroup
from panda3d.core import *
class DNAData(DNAGroup):
name = 'DNAData'
def __init__(self):
DNAGroup.__init__(self, self.name)
node = PandaNode('dna')
self.nodePath = NodePath(node)
self.Filename = ''
self.store = N... | {
"repo_name": "SkippsDev/libdna",
"path": "src/DNAData.py",
"copies": "1",
"size": "1047",
"license": "mit",
"hash": 1966559967419901700,
"line_mean": 22.2888888889,
"line_max": 53,
"alpha_frac": 0.7249283668,
"autogenerated": false,
"ratio": 2.916434540389972,
"config_test": false,
"has_no_k... |
from dndarmy.Army import *
steelbeard = Army('Adun\' Steelbeards')
steelbeard.add_units('Knight', 50)
trickfoot = Army('Trickfoot\'s Hustlers')
trickfoot.add_units('Knight', 50)
trickfoot.morale += 1
cultists = Army('Cult of the Dragon')
cultists.add_units('Cultist', 75)
cultists.add_units('Kobold', 150)
cultists.ad... | {
"repo_name": "etkirsch/dndarmy",
"path": "armyexample.py",
"copies": "1",
"size": "1192",
"license": "apache-2.0",
"hash": -814183521253489900,
"line_mean": 32.1111111111,
"line_max": 96,
"alpha_frac": 0.6317114094,
"autogenerated": false,
"ratio": 2.851674641148325,
"config_test": false,
"h... |
from dndarmy.Unit import *
import random as r
import numpy as np
import json
class Army(Roller):
'''
Army class; handles a lot of attack rolls and such so that you, the DM,
don't have to get bogged down in the details!
'''
# Useful variables
npc_json_filename = 'creatures.json'
morale_loss_... | {
"repo_name": "etkirsch/dndarmy",
"path": "dndarmy/Army.py",
"copies": "1",
"size": "7061",
"license": "apache-2.0",
"hash": 1449652751224340700,
"line_mean": 45.1503267974,
"line_max": 105,
"alpha_frac": 0.6431100411,
"autogenerated": false,
"ratio": 3.6547619047619047,
"config_test": false,
... |
from dndarmy.Weapon import Weapon
from dndarmy.Roller import Roller
import random as r
import json, math
class Unit(Roller):
'''Basic unit of an army. Specified by OGL NPC 'monsters'.'''
equipment_json_filename = 'equipment.json'
armor_param = 'armorClass'
damage_param = 'damage'
modifier_param = '... | {
"repo_name": "etkirsch/dndarmy",
"path": "dndarmy/Unit.py",
"copies": "1",
"size": "3958",
"license": "apache-2.0",
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"line_max": 90,
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"autogenerated": false,
"ratio": 3.481090589270009,
"config_test": false,
"h... |
from dnif.consumer import AsyncHttpConsumer
from dnif.logger import DnifLogger
from idstools import unified2
from idstools import maps
import sys
import logging
import time
import os
import datetime
import pygeoip
import re
import logging
import redis
import ast
import json
LOGFILE = "/var/log/snort-agent.log"
logging... | {
"repo_name": "meghu/snort-agent",
"path": "snort-agent.py",
"copies": "1",
"size": "9231",
"license": "apache-2.0",
"hash": 2397715801973733000,
"line_mean": 38.2808510638,
"line_max": 106,
"alpha_frac": 0.5014624634,
"autogenerated": false,
"ratio": 3.778550961932051,
"config_test": false,
... |
from dnload.assembler_section import AssemblerSection
from dnload.platform_var import PlatformVar
########################################
# AssemblerSectionBss ##################
########################################
class AssemblerSectionBss(AssemblerSection):
""".bss section to be appended to the end of ass... | {
"repo_name": "trilkk/dnload",
"path": "dnload/assembler_section_bss.py",
"copies": "2",
"size": "2165",
"license": "bsd-3-clause",
"hash": -5546704570876428000,
"line_mean": 38.3636363636,
"line_max": 109,
"alpha_frac": 0.568591224,
"autogenerated": false,
"ratio": 3.9579524680073126,
"config_... |
from dnload.assembler_section import AssemblerSection
########################################
# AssemblerSectionAlignment ############
########################################
class AssemblerSectionAlignment(AssemblerSection):
"""Alignment section only meant to provide alignment and label."""
def __init__(s... | {
"repo_name": "trilkk/dnload",
"path": "dnload/assembler_section_alignment.py",
"copies": "2",
"size": "1376",
"license": "bsd-3-clause",
"hash": 6021592028174556000,
"line_mean": 38.3142857143,
"line_max": 78,
"alpha_frac": 0.5661337209,
"autogenerated": false,
"ratio": 4.467532467532467,
"con... |
from dnload.assembler_variable import AssemblerVariable
from dnload.common import is_listing
from dnload.common import is_verbose
from dnload.common import labelify
from dnload.platform_var import osarch_is_32_bit
from dnload.platform_var import osarch_is_64_bit
from dnload.platform_var import PlatformVar
############... | {
"repo_name": "trilkk/dnload",
"path": "dnload/assembler_segment.py",
"copies": "2",
"size": "8135",
"license": "bsd-3-clause",
"hash": 617914882916507500,
"line_mean": 37.3726415094,
"line_max": 131,
"alpha_frac": 0.5331284573,
"autogenerated": false,
"ratio": 3.721408966148216,
"config_test":... |
from dnload.common import is_listing
from dnload.glsl_access import is_glsl_access
from dnload.glsl_float import interpret_float
from dnload.glsl_float import is_glsl_float
from dnload.glsl_int import interpret_int
from dnload.glsl_int import is_glsl_int
from dnload.glsl_name import is_glsl_name
from dnload.glsl_operat... | {
"repo_name": "trilkk/dnload",
"path": "dnload/glsl_token.py",
"copies": "2",
"size": "32213",
"license": "bsd-3-clause",
"hash": -2228745721967629600,
"line_mean": 40.0356687898,
"line_max": 137,
"alpha_frac": 0.5390991215,
"autogenerated": false,
"ratio": 4.288776461190254,
"config_test": fal... |
from dnload.common import is_listing
from dnload.glsl_block import GlslBlock
from dnload.glsl_block import extract_tokens
from dnload.glsl_block_assignment import glsl_parse_assignment
from dnload.glsl_paren import is_glsl_paren
########################################
# GlslBlockParameter ###################
########... | {
"repo_name": "trilkk/dnload",
"path": "dnload/glsl_block_parameter.py",
"copies": "2",
"size": "3586",
"license": "bsd-3-clause",
"hash": 1653147651874260000,
"line_mean": 35.9690721649,
"line_max": 98,
"alpha_frac": 0.5744562186,
"autogenerated": false,
"ratio": 4.0703745743473325,
"config_te... |
from dnload.common import is_listing
from dnload.glsl_block import GlslBlock
from dnload.glsl_block import extract_tokens
from dnload.glsl_block_declaration import glsl_parse_declaration
from dnload.glsl_block_statement import glsl_parse_statements
########################################
# GlslBlockControl ##########... | {
"repo_name": "trilkk/dnload",
"path": "dnload/glsl_block_control.py",
"copies": "2",
"size": "3485",
"license": "bsd-3-clause",
"hash": 8608924300904197000,
"line_mean": 36.4731182796,
"line_max": 105,
"alpha_frac": 0.5804878049,
"autogenerated": false,
"ratio": 4.313118811881188,
"config_test... |
from dnload.common import is_listing
from dnload.glsl_block import GlslBlock
from dnload.glsl_block import extract_tokens
from dnload.glsl_block_parameter import glsl_parse_parameter_list
from dnload.glsl_block_scope import glsl_parse_scope
########################################
# GlslBlockFunction #################... | {
"repo_name": "trilkk/dnload",
"path": "dnload/glsl_block_function.py",
"copies": "2",
"size": "2891",
"license": "bsd-3-clause",
"hash": 8880203057345433000,
"line_mean": 34.256097561,
"line_max": 120,
"alpha_frac": 0.5745416811,
"autogenerated": false,
"ratio": 4.0152777777777775,
"config_tes... |
from dnload.common import is_listing
from dnload.glsl_block import GlslBlock
from dnload.glsl_block import extract_tokens
########################################
# GlslBlockMember ######################
########################################
class GlslBlockMember(GlslBlock):
"""Member block."""
def __init... | {
"repo_name": "trilkk/dnload",
"path": "dnload/glsl_block_member.py",
"copies": "2",
"size": "2473",
"license": "bsd-3-clause",
"hash": -6071748967435527000,
"line_mean": 30.3037974684,
"line_max": 86,
"alpha_frac": 0.5475131419,
"autogenerated": false,
"ratio": 4.027687296416938,
"config_test"... |
from dnload.common import is_verbose
from dnload.glsl_block import GlslBlock
from dnload.glsl_block import extract_tokens
from dnload.glsl_block_assignment import glsl_parse_assignment
from dnload.glsl_block_assignment import is_glsl_block_assignment
from dnload.glsl_block_call import glsl_parse_call
from dnload.glsl_b... | {
"repo_name": "trilkk/dnload",
"path": "dnload/glsl_block_scope.py",
"copies": "2",
"size": "8497",
"license": "bsd-3-clause",
"hash": -53308492828652750,
"line_mean": 37.1031390135,
"line_max": 107,
"alpha_frac": 0.5833823702,
"autogenerated": false,
"ratio": 3.7899197145405887,
"config_test":... |
from dnload.common import is_verbose
from dnload.glsl_block_source import assert_glsl_block_source
from dnload.glsl_block_source import is_glsl_block_source
########################################
# Globals ##############################
########################################
class GlslSourceChain:
"""Chain of... | {
"repo_name": "trilkk/dnload",
"path": "dnload/glsl_source_chain.py",
"copies": "2",
"size": "2394",
"license": "bsd-3-clause",
"hash": -4961013520170568000,
"line_mean": 37.6129032258,
"line_max": 114,
"alpha_frac": 0.5764411028,
"autogenerated": false,
"ratio": 4.267379679144385,
"config_test... |
from dnload.common import is_verbose
from dnload.glsl_name import interpret_name
from dnload.glsl_name import is_glsl_name
from dnload.glsl_paren import is_glsl_paren
########################################
# GlslAccess ###########################
########################################
class GlslAccess:
"""Swi... | {
"repo_name": "trilkk/dnload",
"path": "dnload/glsl_access.py",
"copies": "2",
"size": "4663",
"license": "bsd-3-clause",
"hash": -1410183066068613000,
"line_mean": 32.0709219858,
"line_max": 104,
"alpha_frac": 0.5067553077,
"autogenerated": false,
"ratio": 4.072489082969432,
"config_test": fal... |
from dnload.common import is_verbose
from dnload.glsl_type import is_glsl_precision_string
from dnload.glsl_type import is_glsl_precision_type_string
########################################
# GlslSourcePrecision ##################
########################################
class GlslSourcePrecision:
"""GLSL source... | {
"repo_name": "trilkk/dnload",
"path": "dnload/glsl_source_precision.py",
"copies": "1",
"size": "1846",
"license": "bsd-3-clause",
"hash": 6004866114950520000,
"line_mean": 31.9642857143,
"line_max": 90,
"alpha_frac": 0.5395449621,
"autogenerated": false,
"ratio": 4.1297539149888145,
"config_t... |
from dnload.common import is_verbose
from dnload.symbol_source import SymbolSource
from dnload.template import Template
########################################
# SymbolSourceDatabase #################
########################################
class SymbolSourceDatabase:
"""Database of different symbol sources tha... | {
"repo_name": "trilkk/dnload",
"path": "dnload/symbol_source_database.py",
"copies": "1",
"size": "4905",
"license": "bsd-3-clause",
"hash": 8918681070096246000,
"line_mean": 30.4423076923,
"line_max": 109,
"alpha_frac": 0.4844036697,
"autogenerated": false,
"ratio": 3.874407582938389,
"config_... |
from dnload.glsl_block import GlslBlock
from dnload.glsl_block import extract_tokens
from dnload.glsl_block_array import glsl_parse_array
from dnload.glsl_block_statement import glsl_parse_statement
from dnload.glsl_block_statement import glsl_parse_statements
from dnload.glsl_paren import GlslParen
##################... | {
"repo_name": "trilkk/dnload",
"path": "dnload/glsl_block_assignment.py",
"copies": "2",
"size": "5156",
"license": "bsd-3-clause",
"hash": 4273675730989660000,
"line_mean": 38.9689922481,
"line_max": 118,
"alpha_frac": 0.5979441427,
"autogenerated": false,
"ratio": 4.243621399176955,
"config_t... |
from dnload.glsl_block import GlslBlock
from dnload.glsl_block import extract_tokens
from dnload.glsl_block_assignment import glsl_parse_assignment
import re
########################################
# GlslBlockDeclaration #################
########################################
class GlslBlockDeclaration(GlslBlock)... | {
"repo_name": "trilkk/dnload",
"path": "dnload/glsl_block_declaration.py",
"copies": "2",
"size": "3413",
"license": "bsd-3-clause",
"hash": -7292150973299910000,
"line_mean": 34.1855670103,
"line_max": 111,
"alpha_frac": 0.559331966,
"autogenerated": false,
"ratio": 4.39819587628866,
"config_t... |
from dnload.glsl_block import GlslBlock
from dnload.glsl_block import extract_tokens
from dnload.glsl_block_layout import glsl_parse_layout
from dnload.glsl_block_member import glsl_parse_member_list
########################################
# GlslBlockInOut #######################
#####################################... | {
"repo_name": "trilkk/dnload",
"path": "dnload/glsl_block_inout.py",
"copies": "2",
"size": "6754",
"license": "bsd-3-clause",
"hash": 6597973329872213000,
"line_mean": 32.9396984925,
"line_max": 111,
"alpha_frac": 0.5598164051,
"autogenerated": false,
"ratio": 3.910828025477707,
"config_test":... |
from dnload.glsl_block import GlslBlock
from dnload.glsl_block import extract_tokens
from dnload.glsl_block_layout import glsl_parse_layout
########################################
# GlslBlockUniform #####################
########################################
class GlslBlockUniform(GlslBlock):
"""Uniform decla... | {
"repo_name": "trilkk/dnload",
"path": "dnload/glsl_block_uniform.py",
"copies": "2",
"size": "2625",
"license": "bsd-3-clause",
"hash": 8792394430906423000,
"line_mean": 32.6538461538,
"line_max": 89,
"alpha_frac": 0.5459047619,
"autogenerated": false,
"ratio": 3.9533132530120483,
"config_test... |
from dnload.glsl_block import GlslBlock
from dnload.glsl_block import extract_tokens
from dnload.glsl_block_member import glsl_parse_member_list
########################################
# GlslBlockStruct ######################
########################################
class GlslBlockStruct(GlslBlock):
"""Struct de... | {
"repo_name": "trilkk/dnload",
"path": "dnload/glsl_block_struct.py",
"copies": "2",
"size": "2784",
"license": "bsd-3-clause",
"hash": 446752746780357200,
"line_mean": 31.3720930233,
"line_max": 98,
"alpha_frac": 0.5319683908,
"autogenerated": false,
"ratio": 4,
"config_test": false,
"has_no... |
from dnload.glsl_block import GlslBlock
from dnload.glsl_block import extract_tokens
from dnload.glsl_block_statement import glsl_parse_statement
from dnload.glsl_operator import is_glsl_operator
########################################
# GlslBlockUnary #######################
########################################
... | {
"repo_name": "trilkk/dnload",
"path": "dnload/glsl_block_unary.py",
"copies": "2",
"size": "2318",
"license": "bsd-3-clause",
"hash": 3022648032527093000,
"line_mean": 33.5970149254,
"line_max": 88,
"alpha_frac": 0.5483175151,
"autogenerated": false,
"ratio": 4.237659963436928,
"config_test": ... |
from dnload.glsl_block import GlslBlock
from dnload.glsl_block import extract_tokens
from dnload.glsl_block_statement import glsl_parse_statement
########################################
# GlslBlockArray #######################
########################################
class GlslBlockArray(GlslBlock):
"""Array lit... | {
"repo_name": "trilkk/dnload",
"path": "dnload/glsl_block_array.py",
"copies": "2",
"size": "2703",
"license": "bsd-3-clause",
"hash": 148638208884007100,
"line_mean": 37.6142857143,
"line_max": 130,
"alpha_frac": 0.5871254162,
"autogenerated": false,
"ratio": 4.171296296296297,
"config_test": ... |
from dnload.glsl_block import GlslBlock
from dnload.glsl_block import extract_tokens
from dnload.glsl_block_statement import glsl_parse_statements
########################################
# GlslBlockCall ########################
########################################
class GlslBlockCall(GlslBlock):
"""Function ... | {
"repo_name": "trilkk/dnload",
"path": "dnload/glsl_block_call.py",
"copies": "2",
"size": "2030",
"license": "bsd-3-clause",
"hash": -56100235612630856,
"line_mean": 35.25,
"line_max": 104,
"alpha_frac": 0.5536945813,
"autogenerated": false,
"ratio": 4.134419551934827,
"config_test": false,
... |
from dnload.glsl_block import GlslBlock
from dnload.glsl_block import extract_tokens
from dnload.glsl_name import get_list_primitives
########################################
# GlslBlockLayout ######################
########################################
class GlslBlockLayout(GlslBlock):
"""Uniform declaration.... | {
"repo_name": "trilkk/dnload",
"path": "dnload/glsl_block_layout.py",
"copies": "1",
"size": "2181",
"license": "bsd-3-clause",
"hash": -4595247602308604400,
"line_mean": 35.35,
"line_max": 112,
"alpha_frac": 0.5231545163,
"autogenerated": false,
"ratio": 4.506198347107438,
"config_test": false... |
from dnload.glsl_block import GlslBlock
from dnload.glsl_block import extract_tokens
########################################
# GlslBlockPerVertex ###################
########################################
class GlslBlockPerVertex(GlslBlock):
"""gl_PerVertex block."""
def __init__(self, inout, lst):
... | {
"repo_name": "trilkk/dnload",
"path": "dnload/glsl_block_pervertex.py",
"copies": "2",
"size": "1452",
"license": "bsd-3-clause",
"hash": -4725538722994050000,
"line_mean": 32.7674418605,
"line_max": 103,
"alpha_frac": 0.4924242424,
"autogenerated": false,
"ratio": 3.8514588859416445,
"config_... |
from dnload.glsl_block import tokenize
from dnload.glsl_block_assignment import glsl_parse_assignment
from dnload.glsl_block_function import glsl_parse_function
from dnload.glsl_block_declaration import glsl_parse_declaration
from dnload.glsl_block_default import glsl_parse_default
from dnload.glsl_block_inout import g... | {
"repo_name": "trilkk/dnload",
"path": "dnload/glsl_parse.py",
"copies": "2",
"size": "2101",
"license": "bsd-3-clause",
"hash": 658710897126722400,
"line_mean": 38.641509434,
"line_max": 64,
"alpha_frac": 0.6768205616,
"autogenerated": false,
"ratio": 3.3723916532905296,
"config_test": false,
... |
from dnload.glsl_int import interpret_int
from dnload.platform_var import platform_is_gles
########################################
# GlslInt ##############################
########################################
class GlslFloat:
"""GLSL integer."""
def __init__(self, integer1, integer2):
"""Constru... | {
"repo_name": "trilkk/dnload",
"path": "dnload/glsl_float.py",
"copies": "2",
"size": "3332",
"license": "bsd-3-clause",
"hash": 980458637159538600,
"line_mean": 34.8279569892,
"line_max": 108,
"alpha_frac": 0.5570228091,
"autogenerated": false,
"ratio": 4.093366093366093,
"config_test": false,... |
from dnload.platform_var import PlatformVar
########################################
# AssemblerBssElement ##################
########################################
class AssemblerBssElement:
""".bss element, representing a memory area that would go to .bss section."""
def __init__(self, name, size, und_sy... | {
"repo_name": "trilkk/dnload",
"path": "dnload/assembler_bss_element.py",
"copies": "2",
"size": "1540",
"license": "bsd-3-clause",
"hash": 2614431719609045000,
"line_mean": 31.0833333333,
"line_max": 122,
"alpha_frac": 0.5051948052,
"autogenerated": false,
"ratio": 4.041994750656168,
"config_t... |
from dnnet.exception import DNNetValueError
from dnnet.ext_mathlibs import cp, np
def random_shuffle(arr):
if isinstance(arr, np.ndarray):
np.random.shuffle(arr)
else:
cp.random.shuffle(arr)
def arange(shape, dtype, arr_type):
if arr_type == type(np.array([])):
return np.arange(s... | {
"repo_name": "daichi-yoshikawa/dnn",
"path": "dnnet/utils/numcupy.py",
"copies": "1",
"size": "3265",
"license": "bsd-3-clause",
"hash": -3206009657148124000,
"line_mean": 23.7348484848,
"line_max": 59,
"alpha_frac": 0.5917304747,
"autogenerated": false,
"ratio": 3.2294757665677545,
"config_te... |
from dnn_predict import Predictor
from pythonDnn.utils.load_conf import load_dnn_spec
from pythonDnn.utils.utils import parse_activation
from pythonDnn.models.dnn import DNN3,DNN_Dropout
class DNNPredictor(Predictor):
def __init__(self,model_config):
super(DNNPredictor, self).__init__(model_config,'DNN');
mlp_con... | {
"repo_name": "IITM-DONLAB/dnn-test-wrapper",
"path": "src/dnn_predict/dnn.py",
"copies": "1",
"size": "1650",
"license": "apache-2.0",
"hash": 1568954095287422700,
"line_mean": 47.5294117647,
"line_max": 87,
"alpha_frac": 0.7,
"autogenerated": false,
"ratio": 2.8205128205128207,
"config_test":... |
from dnsdumpster import DNSDumpsterAPI
import socket
import binascii
'''
############################################
# SUBDOMAINS #
############################################
'''
def subdomains_search(host):
dnsdumpster_data = DNSDumpsterAPI.DNSDumpsterAPI().search(host)
ret... | {
"repo_name": "nethunteros/punter",
"path": "subdomains.py",
"copies": "1",
"size": "5257",
"license": "unlicense",
"hash": -6193012806655465000,
"line_mean": 28.5393258427,
"line_max": 71,
"alpha_frac": 0.5223511508,
"autogenerated": false,
"ratio": 3.7283687943262414,
"config_test": false,
... |
from dnsimple2.errors import InvalidAccountError
from dnsimple2.resources import (
AccountResource,
BaseResource
)
class DomainResource(BaseResource):
def __init__(self, **kwargs):
self.id = kwargs.get('id')
account_data = kwargs.get('account_id') or kwargs.get('account')
if isins... | {
"repo_name": "indradhanush/dnsimple2-python",
"path": "dnsimple2/resources/domains.py",
"copies": "1",
"size": "2084",
"license": "mit",
"hash": 8128253724744454000,
"line_mean": 39.0769230769,
"line_max": 73,
"alpha_frac": 0.6377159309,
"autogenerated": false,
"ratio": 3.6306620209059233,
"co... |
from dnsimple2.resources import (
CollaboratorResource,
DomainResource,
EmailForwardResource,
ResourceList
)
from dnsimple2.services import BaseService
class DomainService(BaseService):
def __init__(self, client):
super(DomainService, self).__init__(
client=client,
... | {
"repo_name": "indradhanush/dnsimple2-python",
"path": "dnsimple2/services/domains.py",
"copies": "1",
"size": "4270",
"license": "mit",
"hash": 5288517211194047000,
"line_mean": 33.7154471545,
"line_max": 88,
"alpha_frac": 0.6295081967,
"autogenerated": false,
"ratio": 3.9757914338919926,
"con... |
from dns import rdatatype, rdataclass, flags, rcode
def parse_query(query, nameserver, duration):
""" Parse a dns response into a dict based on record type.
Should adhere to propsed rfc format:
http://tools.ietf.org/html/draft-bortzmeyer-dns-json-00
"""
flag_list = flags.to_text(query.response.fla... | {
"repo_name": "opendns/OpenResolve",
"path": "resolverapi/util/dns_query.py",
"copies": "1",
"size": "3520",
"license": "bsd-2-clause",
"hash": -7397563422179566000,
"line_mean": 30.7117117117,
"line_max": 77,
"alpha_frac": 0.5701704545,
"autogenerated": false,
"ratio": 3.5448136958710976,
"con... |
from dns import zone, query, update
from dns.rdataclass import *
from dns.rdatatype import *
class BIND9(object):
def __init__(self, server, domain):
self.server = server
self.domain = domain
self.records = {}
def dump(self):
try:
z = zone.from_xfr(query.xfr(self.se... | {
"repo_name": "rshipp/dns-webui",
"path": "bind9ui/bind9ui.py",
"copies": "1",
"size": "1771",
"license": "bsd-3-clause",
"hash": 7323261998199958000,
"line_mean": 34.42,
"line_max": 76,
"alpha_frac": 0.5505364201,
"autogenerated": false,
"ratio": 4.118604651162791,
"config_test": false,
"has... |
from dnslib import *
import sys
import argparse
import socket
import binascii
import struct
from datetime import *
class Decode_Packet(object):
def __init__(self):
pass
def transaction_id(self, segment):
TID = ''
raw_tid = ''
tid = struct.unpack("!H", segment)
for i in tid:
TID += hex(i)
raw_tid = ... | {
"repo_name": "Dylan-halls/Theseus",
"path": "src/dns/dns.py",
"copies": "1",
"size": "2655",
"license": "mit",
"hash": 3471059427214743000,
"line_mean": 25.2871287129,
"line_max": 110,
"alpha_frac": 0.6410546139,
"autogenerated": false,
"ratio": 2.898471615720524,
"config_test": false,
"has_... |
from dnslib.server import DNSServer, DNSLogger
from dnslib.zoneresolver import ZoneResolver
class NullLogger:
def __init__(self,log="",prefix=True):
pass
def log_pass(self,*args):
pass
def log_prefix(self,handler):
pass
def log_recv(self,handler,data):
pass
... | {
"repo_name": "ValiMail/arc_test_suite",
"path": "arcdns.py",
"copies": "1",
"size": "1445",
"license": "mit",
"hash": -549513001252458400,
"line_mean": 23.4915254237,
"line_max": 77,
"alpha_frac": 0.5529411765,
"autogenerated": false,
"ratio": 3.8844086021505375,
"config_test": false,
"has_n... |
from dnslookup.DNSLookupBase import DNSLookupBase
class NameServer(DNSLookupBase):
def __init__(self, ip, name, country_id, city=None, version=None, error=None, dnssec=None, reliability=None,
checked_at=None, created_at=None):
self.ip = ip
self.name = name
self.country_id ... | {
"repo_name": "joubin/DNSPython",
"path": "dnslookup/NameServer.py",
"copies": "1",
"size": "1379",
"license": "mit",
"hash": 2243447176439433200,
"line_mean": 48.25,
"line_max": 113,
"alpha_frac": 0.5888324873,
"autogenerated": false,
"ratio": 4.0321637426900585,
"config_test": false,
"has_n... |
from .dns_resolver import globalDnsResolver
class Node(object):
"""
A representation of any node in the network.
The ID must uniquely identify a node. Node objects with the same ID will be treated as equal, i.e. as representing the same node.
"""
def __init__(self, id, **kwargs):
"""
... | {
"repo_name": "bakwc/PySyncObj",
"path": "pysyncobj/node.py",
"copies": "1",
"size": "2882",
"license": "mit",
"hash": -4055110317695954000,
"line_mean": 29.6595744681,
"line_max": 176,
"alpha_frac": 0.5676613463,
"autogenerated": false,
"ratio": 3.9916897506925206,
"config_test": false,
"has... |
from dns.resolver import Resolver
import socket
import ipaddress
import os
DEBUG = os.environ.get("EEHDEBUG_SPF")
__version__ = "0.0.1"
PASS = "pass"
FAIL = "fail"
SOFTFAIL = "softfail"
NEUTRAL = "neutral"
PERMERROR = "permerror"
TEMPERROR = "temperror"
NONE = "none"
SMTP_PERM_FAIL = 550
statusmap = {
PASS: (2... | {
"repo_name": "Varbin/EEH",
"path": "src/EEHlib/spam/SPF.py",
"copies": "1",
"size": "4730",
"license": "bsd-2-clause",
"hash": -7888298641132441000,
"line_mean": 21.3113207547,
"line_max": 87,
"alpha_frac": 0.5317124736,
"autogenerated": false,
"ratio": 3.8643790849673203,
"config_test": false... |
from doajtest.fixtures.article_crossref import CrossrefArticleFixtureFactory
from doajtest.fixtures.article_doajxml import DoajXmlArticleFixtureFactory
import requests
GET = requests.get
class ResponseMockFactory(object):
@classmethod
def head_success(cls, url, *args, **kwargs):
return Response(200)... | {
"repo_name": "DOAJ/doaj",
"path": "doajtest/mocks/response.py",
"copies": "1",
"size": "1721",
"license": "apache-2.0",
"hash": 1692376758083097600,
"line_mean": 29.1929824561,
"line_max": 94,
"alpha_frac": 0.6077861708,
"autogenerated": false,
"ratio": 3.9563218390804598,
"config_test": false... |
from doajtest.fixtures.article_crossref import CrossrefArticleFixtureFactory
from doajtest.fixtures.article_doajxml import DoajXmlArticleFixtureFactory
class FTPMockFactory(object):
@classmethod
def create(cls, schema):
if schema == "doaj":
return FTPMockDoajFactory
else:
... | {
"repo_name": "DOAJ/doaj",
"path": "doajtest/mocks/ftp.py",
"copies": "1",
"size": "1476",
"license": "apache-2.0",
"hash": -1876951893188862700,
"line_mean": 26.8490566038,
"line_max": 87,
"alpha_frac": 0.6158536585,
"autogenerated": false,
"ratio": 4.157746478873239,
"config_test": false,
"... |
from doajtest.fixtures import ArticleFixtureFactory
from portality.bll import exceptions
from portality.models import Article
from portality.bll.exceptions import ArticleMergeConflict
from datetime import datetime
class BLLArticleMockFactory(object):
@classmethod
def merge_mock(cls, article):
pass
... | {
"repo_name": "DOAJ/doaj",
"path": "doajtest/mocks/bll_article.py",
"copies": "1",
"size": "5574",
"license": "apache-2.0",
"hash": -7969503768748752000,
"line_mean": 32.1785714286,
"line_max": 143,
"alpha_frac": 0.5848582705,
"autogenerated": false,
"ratio": 4.242009132420091,
"config_test": f... |
from doajtest.fixtures import JournalFixtureFactory, ArticleFixtureFactory
from doajtest.helpers import DoajTestCase
from portality.bll.exceptions import DuplicateArticleException, ArticleMergeConflict
from portality.models import Account, Article, Journal
from portality.bll.services.article import ArticleService
cla... | {
"repo_name": "DOAJ/doaj",
"path": "doajtest/unit/test_create_article.py",
"copies": "1",
"size": "10917",
"license": "apache-2.0",
"hash": 1918696188997508000,
"line_mean": 48.1756756757,
"line_max": 148,
"alpha_frac": 0.6632774572,
"autogenerated": false,
"ratio": 3.767080745341615,
"config_t... |
from doajtest.fixtures import JournalFixtureFactory
from portality.models import Journal
class ModelArticleMockFactory(object):
@classmethod
def get_journal(cls, specs):
journals = []
for spec in specs:
source = JournalFixtureFactory.make_journal_source(in_doaj=True)
j... | {
"repo_name": "DOAJ/doaj",
"path": "doajtest/mocks/model_Article.py",
"copies": "1",
"size": "1145",
"license": "apache-2.0",
"hash": 8662633774822094000,
"line_mean": 30.8055555556,
"line_max": 76,
"alpha_frac": 0.5580786026,
"autogenerated": false,
"ratio": 3.6119873817034702,
"config_test": ... |
from doajtest.fixtures import JournalFixtureFactory
from portality.models import Journal
class ModelJournalMockFactory(object):
@classmethod
def find_by_issn(cls, issns, owners):
journals = []
seen_issns = []
for owner in owners:
for eissn, pissn in issns:
... | {
"repo_name": "DOAJ/doaj",
"path": "doajtest/mocks/model_Journal.py",
"copies": "1",
"size": "1350",
"license": "apache-2.0",
"hash": -8254032917412492000,
"line_mean": 31.1428571429,
"line_max": 80,
"alpha_frac": 0.5303703704,
"autogenerated": false,
"ratio": 3.9589442815249267,
"config_test":... |
from doajtest.helpers import DoajTestCase
from doajtest.fixtures.accounts import AccountFixtureFactory
from portality import models
from portality.lib import paths
from portality.scripts.accounts_with_marketing_consent import publishers_with_consent
import os, shutil, csv
class TestScriptsAccountsWithMarketingConsent(... | {
"repo_name": "DOAJ/doaj",
"path": "doajtest/unit/test_scripts_accounts_with_marketing_consent.py",
"copies": "1",
"size": "2784",
"license": "apache-2.0",
"hash": -5265880635738716000,
"line_mean": 36.12,
"line_max": 85,
"alpha_frac": 0.6005747126,
"autogenerated": false,
"ratio": 4.106194690265... |
from doajtest.helpers import DoajTestCase
from doajtest.fixtures import ArticleFixtureFactory, JournalFixtureFactory
from portality import models
class TestTOC(DoajTestCase):
def setUp(self):
super(TestTOC, self).setUp()
def tearDown(self):
super(TestTOC, self).tearDown()
def test_01_ar... | {
"repo_name": "DOAJ/doaj",
"path": "doajtest/unit/test_toc.py",
"copies": "1",
"size": "5508",
"license": "apache-2.0",
"hash": -3542200640603861500,
"line_mean": 40.1044776119,
"line_max": 120,
"alpha_frac": 0.5953159041,
"autogenerated": false,
"ratio": 3.2649673977474807,
"config_test": true... |
from doajtest.helpers import DoajTestCase
from doajtest.fixtures import JournalFixtureFactory, ArticleFixtureFactory
from portality import models
from portality.tasks.journal_in_out_doaj import SetInDOAJBackgroundTask, change_in_doaj
import time
class TestWithdrawReinstate(DoajTestCase):
def setUp(self):
... | {
"repo_name": "DOAJ/doaj",
"path": "doajtest/unit/test_withdraw_reinstate.py",
"copies": "1",
"size": "4655",
"license": "apache-2.0",
"hash": -7556505509211911000,
"line_mean": 30.2483221477,
"line_max": 125,
"alpha_frac": 0.5759398496,
"autogenerated": false,
"ratio": 3.4002921840759677,
"con... |
from doajtest.helpers import DoajTestCase
from doajtest.mocks.bll_article import BLLArticleMockFactory
from portality.tasks import ingestarticles
from doajtest.fixtures.article_crossref import CrossrefArticleFixtureFactory
from doajtest.fixtures.accounts import AccountFixtureFactory
from doajtest.mocks.file import Fil... | {
"repo_name": "DOAJ/doaj",
"path": "doajtest/unit/test_tasks_ingestCrossrefArticles.py",
"copies": "1",
"size": "66327",
"license": "apache-2.0",
"hash": -7513940132398088000,
"line_mean": 34.7370689655,
"line_max": 172,
"alpha_frac": 0.6222955961,
"autogenerated": false,
"ratio": 3.7128862516793... |
from doajtest.helpers import DoajTestCase
from doajtest.mocks.response import ResponseMockFactory
from portality.tasks import ingestarticles
from portality.bll.services import article as articleSvc
from portality import models
from portality.core import app
from portality.background import BackgroundException, Retr... | {
"repo_name": "DOAJ/doaj",
"path": "doajtest/unit/test_tasks_ingestarticles_schema_independent.py",
"copies": "1",
"size": "4798",
"license": "apache-2.0",
"hash": 6611352382160791000,
"line_mean": 33.0354609929,
"line_max": 105,
"alpha_frac": 0.6431846603,
"autogenerated": false,
"ratio": 3.9522... |
from doajtest.helpers import DoajTestCase
from flask import url_for
class TestSearchBox(DoajTestCase):
def setUp(self):
super(TestSearchBox, self).setUp()
def tearDown(self):
super(TestSearchBox, self).tearDown()
def test_01_with_referrer(self):
""" Utilise the search endpoint u... | {
"repo_name": "DOAJ/doaj",
"path": "doajtest/unit/test_index_searchbox.py",
"copies": "1",
"size": "3517",
"license": "apache-2.0",
"hash": -2721495342525043000,
"line_mean": 54.8253968254,
"line_max": 164,
"alpha_frac": 0.5698038101,
"autogenerated": false,
"ratio": 3.9340044742729305,
"config... |
from doajtest.helpers import DoajTestCase
from portality.core import app
class TestJinjaTemplateFilters(DoajTestCase):
def setUp(self):
super(TestJinjaTemplateFilters, self).setUp()
def tearDown(self):
super(TestJinjaTemplateFilters, self).tearDown()
def test_01_form_diff_table_compariso... | {
"repo_name": "DOAJ/doaj",
"path": "doajtest/unit/test_jinja_template_filters.py",
"copies": "1",
"size": "1911",
"license": "apache-2.0",
"hash": 6726210327815895000,
"line_mean": 44.5,
"line_max": 137,
"alpha_frac": 0.5965463108,
"autogenerated": false,
"ratio": 3.4745454545454546,
"config_te... |
from doajtest.helpers import DoajTestCase
from portality import models
from portality.api.v2 import DiscoveryApi, DiscoveryException
from portality.api.common import generate_link_headers
import time
from flask import url_for
class TestAPIDiscovery(DoajTestCase):
def setUp(self):
super(TestAPIDiscovery, s... | {
"repo_name": "DOAJ/doaj",
"path": "doajtest/unit/apiv2_tests/test_apiv2_discovery.py",
"copies": "1",
"size": "22430",
"license": "apache-2.0",
"hash": -1130333730500460500,
"line_mean": 47.1330472103,
"line_max": 130,
"alpha_frac": 0.5622826572,
"autogenerated": false,
"ratio": 3.61540941328175... |
from doajtest.helpers import DoajTestCase
from portality import models
import time
class TestApiErrors(DoajTestCase):
def setUp(self):
super(TestApiErrors, self).setUp()
def tearDown(self):
super(TestApiErrors, self).tearDown()
def test_01_api_404(self):
with self.app_test.test_... | {
"repo_name": "DOAJ/doaj",
"path": "doajtest/unit/apiv2_tests/test_api_errors.py",
"copies": "1",
"size": "4190",
"license": "apache-2.0",
"hash": -5157931875269962000,
"line_mean": 47.1609195402,
"line_max": 138,
"alpha_frac": 0.6195704057,
"autogenerated": false,
"ratio": 3.9565627950897073,
... |
from doajtest.helpers import DoajTestCase
from portality import models
import uuid, time
from random import randint
from portality.bll.doaj import DOAJ
from portality.bll.exceptions import ArticleMergeConflict
from datetime import datetime
class TestArticleMatch(DoajTestCase):
def setUp(self):
super(Test... | {
"repo_name": "DOAJ/doaj",
"path": "doajtest/unit/test_article_match.py",
"copies": "1",
"size": "10552",
"license": "apache-2.0",
"hash": -3743116325080856600,
"line_mean": 37.5109489051,
"line_max": 106,
"alpha_frac": 0.6089840788,
"autogenerated": false,
"ratio": 3.6149366221308665,
"config_... |
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